Approximation of the exponential type time series in terms of the usa population growth rate

Authors

  • V. M. Kuzmyn National Aviation University
  • M. Yu. Zaliskyi National Aviation University
  • O. V. Kozhokhina National Aviation University

DOI:

https://doi.org/10.18372/2073-4751.3.11322

Keywords:

exponential polygonal (linear two-segment) regression, approximation, sum of squared deviations minimization, cumulative curve of remainders

Abstract

The article represents a new approach to the exponential polygonal mathematical model formulationat the time series approximation in terms of the USA population growth rate

Author Biographies

V. M. Kuzmyn, National Aviation University

PhD

M. Yu. Zaliskyi, National Aviation University

PhD

O. V. Kozhokhina, National Aviation University

PhD

References

McClave, J.T. Statistics / J.T. McClave, F.H. Dietrich. – San Francisco: Dellen Publishing Company, 1991. – 624 p.

Chetyrkin E.M. Statistical methods of prediction. – М.: Statistics, 1977. – 200 p. (in Russian)

Blanchard P., Devaney R.L., Hall G. R. Differential Equation. Pacific Grove CA, 1997, 162 p.

Kuzmin V.N. New Statistical Method for Identification of Nonlinearity of Empirical Data // Computer data analysis and modeling. Proceedings of the Fifth International Conference. June, 8 – 12, 1998, Minsk, Volume 1: A-M, PP. 159 – 164.

Kuzmin V.N., Solomentsev O.V., Zaliskyi M.Yu. The methodical approach to testing the linearity of statistical data // Problems of Informatization and Control. – 2015. – № 4 (52). – PP. 63 – 67. (in Ukrainian)

Issue

Section

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